Genotype Data Transformation

Genotype Data Transformation is a methodological framework in computational genomics that formally specifies the systematic conversion of raw genotype data into alternative representational formats or analytical scales to enable cross-platform integration, imputation, or phenotype prediction within marker conversion pipelines.

22

Publications

1.5K

Citations

105

Authors

53

Institutions

Publications per year

2017–2026

8

Authors

105

  1. FX
    Fu‐Hua Xu

    Creighton University, United States

    2 publications · 88 citations

    2

    h-index

  2. JL
    Jinlong Li

    Changzhou University, China

    2 publications · 88 citations

    2

    h-index

  3. HD
    Hong‐Wen Deng

    Hunan Normal University, China

    2 publications · 88 citations

    2

    h-index

  4. GD
    Gaya Dowling

    University of Colorado Boulder, United States

    1 publications · 48 citations

    1

    h-index

  5. JH
    Jochen Hampe

    Christian-Albrechts-Universität zu Kiel, Germany

    1 publications · 102 citations

    1

    h-index

1–5 of 105

Venues

  1. BMC Bioinformatics

    3 publications · 52 citations

    3

    h-index

  2. Bioinformatics

    3 publications · 183 citations

    3

    h-index

  3. BMC Research Notes

    2 publications · 242 citations

    2

    h-index

  4. F1000Research

    1 publications · 15 citations

    1

    h-index

  5. Molecular Ecology Notes

    1 publications · 599 citations

    1

    h-index

1–5